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contributor authorSaha, Kaushik
contributor authorLi, Xianguo
date accessioned2017-05-09T01:28:01Z
date available2017-05-09T01:28:01Z
date issued2016
identifier issn1528-8919
identifier othergtp_138_01_011504.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/160979
description abstractSeveral recent cavitation models for the analysis of twophase flows in diesel injectors with singleand twofluid modeling approaches have been evaluated, including the Saha–AbuRamandan–Li (SAL), Schnerr–Sauer (SS), and Zwart–Gerber–Belamri (ZGB) models. The SAL model is a singlefluid model, while the other two models have been implemented with both singleand twofluid approaches. Numerical predictions are compared with experimental results available in literature, qualitatively with experimental images of twophase flow in an optically accessible nozzle, and quantitatively with measured mass flow rates and velocity profiles. It is found that at low injection pressure differentials there can be considerable discrepancy in the predictions of the vapor distribution from the three models considered. This discrepancy is reduced as the injection pressure differential is increased. Implementation of the SS and ZGB models with singleand twofluid approaches yields noticeable differences in the results because of the relative velocity between the two phases, with twofluid approach providing better agreement with experimental results. The performance of the SS and ZGB models implemented with the twofluid approach is comparable with the SAL singlefluid model, but with significantly more computational time. Overall, the SAL singlefluid model performs comparatively better with respect to the other two models.
publisherThe American Society of Mechanical Engineers (ASME)
titleAssessment of Cavitation Models for Flows in Diesel Injectors With Single and Two Fluid Approaches
typeJournal Paper
journal volume138
journal issue1
journal titleJournal of Engineering for Gas Turbines and Power
identifier doi10.1115/1.4031224
journal fristpage11504
journal lastpage11504
identifier eissn0742-4795
treeJournal of Engineering for Gas Turbines and Power:;2016:;volume( 138 ):;issue: 001
contenttypeFulltext


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